| dc.creator | Fainti R., Karasimou M., Tsionas I., Tsoukalas L.H., Alamaniotis M. | en |
| dc.date.accessioned | 2023-01-31T07:37:34Z | |
| dc.date.available | 2023-01-31T07:37:34Z | |
| dc.date.issued | 2019 | |
| dc.identifier | 10.1109/IISA.2018.8633621 | |
| dc.identifier.isbn | 9781538637319 | |
| dc.identifier.uri | http://hdl.handle.net/11615/71441 | |
| dc.description.abstract | The aim of the current study is the development and the evaluation of a fully automated controller based on fuzzy logic for the control of the charging time of Electric Vehicles (EVs) based on user's preferences and the amount of congestion on the grid. This is paramount for the stability and the safety of the electricity infrastructure due to the excessive load that is introduced with the advent of EVs and the rapidly growing demand for electricity in the modern society. All the simulations and the experiments have been contacted using the GridLAB-D simulation platform. ©2018 IEEE | en |
| dc.language.iso | en | en |
| dc.source | 2018 9th International Conference on Information, Intelligence, Systems and Applications, IISA 2018 | en |
| dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062822580&doi=10.1109%2fIISA.2018.8633621&partnerID=40&md5=8be13f2f19e29c28bc08607442a5ed5c | |
| dc.subject | Budget control | en |
| dc.subject | Charging time | en |
| dc.subject | Computer circuits | en |
| dc.subject | Control engineering | en |
| dc.subject | Electric load management | en |
| dc.subject | Electric power plant loads | en |
| dc.subject | Electric vehicles | en |
| dc.subject | Power markets | en |
| dc.subject | Simulation platform | en |
| dc.subject | Traffic congestion | en |
| dc.subject | Vehicle-to-grid | en |
| dc.subject | Electric Vehicles (EVs) | en |
| dc.subject | Electricity infrastructure | en |
| dc.subject | Fully automated | en |
| dc.subject | Growing demand | en |
| dc.subject | Load shifting | en |
| dc.subject | User's preferences | en |
| dc.subject | Fuzzy logic | en |
| dc.subject | Institute of Electrical and Electronics Engineers Inc. | en |
| dc.title | Load management of electric vehicles charging in new generation power markets based on fuzzy logic and the concept of virtual budget | en |
| dc.type | conferenceItem | en |